This page answers Mistralai Ministral 3 14B Instruct 2512 q8 quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.
Short answer: Mistralai Ministral 3 14B Instruct 2512 typically needs around 14GB VRAM at Q8, and 17GB is safer for smoother usage.
Exact Q8 requirement from model requirement data.
Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.
Need general guidance? Review full methodology.
| GPU | VRAM | Quantization | Speed | Compatibility | Buy |
|---|---|---|---|---|---|
| AMD Instinct MI300X | 192GB | Q8 | 401 tok/s | View full compatibility | Buy options |
| NVIDIA H200 SXM 141GB | 141GB | Q8 | 362 tok/s | View full compatibility | Buy options |
| NVIDIA H100 SXM5 80GB | 80GB | Q8 | 260 tok/s | View full compatibility | Buy options |
| AMD Instinct MI250X | 128GB | Q8 | 251 tok/s | View full compatibility | Buy options |
| NVIDIA H100 PCIe 80GB | 80GB | Q8 | 165 tok/s | View full compatibility | Buy options |
| RTX 5090 | 32GB | Q8 | 157 tok/s | View full compatibility | Buy options |
| NVIDIA A100 80GB SXM4 | 80GB | Q8 | 153 tok/s | View full compatibility | Buy options |
| AMD Instinct MI210 | 64GB | Q8 | 125 tok/s | View full compatibility | Buy options |
| NVIDIA A100 40GB PCIe | 40GB | Q8 | 119 tok/s | View full compatibility | Buy options |
| RTX 4090 | 24GB | Q8 | 95 tok/s | View full compatibility | Buy options |
| NVIDIA RTX 6000 Ada | 48GB | Q8 | 94 tok/s | View full compatibility | Buy options |
| NVIDIA L40 | 48GB | Q8 | 87 tok/s | View full compatibility | Buy options |
Mistralai Ministral 3 14B Instruct 2512 at Q8 is estimated to require about 14GB VRAM minimum, with 17GB recommended for smoother operation.
Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.
Q8 is a balance point between memory usage and quality. If your GPU is below 14GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.